You can deploy this model and start earning money today!

RichardErkhov/
logicker_-_SkkuDS-DPO-72B-v1-gguf

Name: logicker_-_SkkuDS-DPO-72B-v1-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

SkkuDS-DPO-72B-v1 - GGUF

Model creator: https://huggingface.co/logicker/
Original model: https://huggingface.co/logicker/SkkuDS-DPO-72B-v1/

Name	Quant method	Size
SkkuDS-DPO-72B-v1.Q2_K.gguf	Q2_K	26.51GB
SkkuDS-DPO-72B-v1.IQ3_XS.gguf	IQ3_XS	27.87GB
SkkuDS-DPO-72B-v1.IQ3_S.gguf	IQ3_S	29.4GB
SkkuDS-DPO-72B-v1.Q3_K_S.gguf	Q3_K_S	30.69GB
SkkuDS-DPO-72B-v1.IQ3_M.gguf	IQ3_M	31.6GB
SkkuDS-DPO-72B-v1.Q3_K.gguf	Q3_K	33.46GB
SkkuDS-DPO-72B-v1.Q3_K_M.gguf	Q3_K_M	33.46GB
SkkuDS-DPO-72B-v1.Q3_K_L.gguf	Q3_K_L	35.84GB
SkkuDS-DPO-72B-v1.IQ4_XS.gguf	IQ4_XS	36.41GB
SkkuDS-DPO-72B-v1.Q4_0.gguf	Q4_0	38.18GB
SkkuDS-DPO-72B-v1.IQ4_NL.gguf	IQ4_NL	38.42GB
SkkuDS-DPO-72B-v1.Q4_K_S.gguf	Q4_K_S	39.04GB
SkkuDS-DPO-72B-v1.Q4_K.gguf	Q4_K	41.08GB
SkkuDS-DPO-72B-v1.Q4_K_M.gguf	Q4_K_M	41.08GB
SkkuDS-DPO-72B-v1.Q4_1.gguf	Q4_1	42.32GB
SkkuDS-DPO-72B-v1.Q5_0.gguf	Q5_0	46.45GB
SkkuDS-DPO-72B-v1.Q5_K_S.gguf	Q5_K_S	46.45GB
SkkuDS-DPO-72B-v1.Q5_K.gguf	Q5_K	47.78GB
SkkuDS-DPO-72B-v1.Q5_K_M.gguf	Q5_K_M	47.78GB
SkkuDS-DPO-72B-v1.Q5_1.gguf	Q5_1	50.59GB
SkkuDS-DPO-72B-v1.Q6_K.gguf	Q6_K	55.24GB
SkkuDS-DPO-72B-v1.Q8_0.gguf	Q8_0	71.55GB

Original model description:

license: other license_name: tongyi-qianwen license_link: >- https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE language:

en pipeline_tag: text-generation tags:
pretrained, dpo

Qwen1.5-72B

DPO Tuning

Dataset: Intel/orca_dpo_pairs

Introduction

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:

Multilingual support of both base and chat models;
Stable support of 32K context length for models of all sizes
No need of trust_remote_code.

For more details, please refer to blog post and GitHub repo.

Model Details

Qwen1.5 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention, etc. Additionally, we have an improved tokenizer adaptive to multiple natural languages and codes. For the beta version, temporarily we did not include GQA and the mixture of SWA and full attention.

Requirements

The code of Qwen1.5 has been in the latest Hugging face transformers and we advise you to install transformers>=4.37.0, or you might encounter the following error:

KeyError: 'qwen2'.

Citation

@article{qwen,
  title={Qwen Technical Report},
  author={Jinze Bai and Shuai Bai and Yunfei Chu and Zeyu Cui and Kai Dang and Xiaodong Deng and Yang Fan and Wenbin Ge and Yu Han and Fei Huang and Binyuan Hui and Luo Ji and Mei Li and Junyang Lin and Runji Lin and Dayiheng Liu and Gao Liu and Chengqiang Lu and Keming Lu and Jianxin Ma and Rui Men and Xingzhang Ren and Xuancheng Ren and Chuanqi Tan and Sinan Tan and Jianhong Tu and Peng Wang and Shijie Wang and Wei Wang and Shengguang Wu and Benfeng Xu and Jin Xu and An Yang and Hao Yang and Jian Yang and Shusheng Yang and Yang Yao and Bowen Yu and Hongyi Yuan and Zheng Yuan and Jianwei Zhang and Xingxuan Zhang and Yichang Zhang and Zhenru Zhang and Chang Zhou and Jingren Zhou and Xiaohuan Zhou and Tianhang Zhu},
  journal={arXiv preprint arXiv:2309.16609},
  year={2023}
}

RichardErkhov/logicker_-_SkkuDS-DPO-72B-v1-gguf